Title

Image Representation Using Nonorthogonal Basis Images With Adaptive Weight Optimization

Authors

Authors

W. B. Mikhael;A. P. Berg

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Signal Process. Lett.

Keywords

MIXED TRANSFORMS; SIGNALS; Engineering, Electrical & Electronic

Abstract

Image-coding techniques that employ subsets of nonorthogonal basis images chosen from two or more transform domains have been shown consistently to yield higher image quality than those based on one transform for a fixed compression ratio. However, these techniques have not been widely employed due to the very high computational complexity of existing formulations, This paper presents a new adaptive parallel mixed transform technique for image representation, Formulations are derived, adaptive algorithms are described, and results of simulations are presented. Excellent performance is achieved with greatly reduced computational complexity compared to existing mixed-transform techniques, making mixed-transform-based image coding practical.

Journal Title

Ieee Signal Processing Letters

Volume

3

Issue/Number

6

Publication Date

1-1-1996

Document Type

Article

Language

English

First Page

165

Last Page

167

WOS Identifier

WOS:A1996UQ71000001

ISSN

1070-9908

Share

COinS